Fast road detection based on a dual-stage structure

Xun Pan, Wa Si, Harutoshi Ogai

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Road detection is an important research subject in autonomous driving. Both accuracy and efficiency are very important for road detection used in autonomous driving systems. However, these two properties are usually contradictory under certain calculation resources. In this paper, we make a good compromise between accuracy and efficiency by proposing a dual-stage detecting strategy, which consists of a fast Hough transform based road detection method and a reliable vanishing point based method. A dynamic region of interest (ROI) is proposed as a connector of the two stages. Experiments prove that our method can achieve good performance on both accuracy and efficiency.

本文言語English
ホスト出版物のタイトルProceedings of 2017 9th International Conference on Computer and Automation Engineering, ICCAE 2017
出版社Association for Computing Machinery
ページ155-162
ページ数8
Part F127852
ISBN(電子版)9781450348096
DOI
出版ステータスPublished - 2017 2月 18
イベント9th International Conference on Computer and Automation Engineering, ICCAE 2017 - Sydney, Australia
継続期間: 2017 2月 182017 2月 21

Other

Other9th International Conference on Computer and Automation Engineering, ICCAE 2017
国/地域Australia
CitySydney
Period17/2/1817/2/21

ASJC Scopus subject areas

  • 人間とコンピュータの相互作用
  • コンピュータ ネットワークおよび通信
  • コンピュータ ビジョンおよびパターン認識
  • ソフトウェア

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